AutoAkzept

Automation without Uncertainty to Enhance the Acceptance of Automated and Connected Driving

Partners

Deutsches Zentrum für Luft- und Raumfahrt e.V.
IAV automotive engineering GmbH
OFFIS Institut für Informatik
TWT GmbH Science & Innovation
HELLA GmbH & Co. KGaA (Assoziierter Partner)

Funding

By order of the German Bundestag, supported by BMVI (German Federal Ministry of Transport and Digital Infrastructure)

BMVI funding guideline "Automated and connected driving"
Grant no.: 16AVF2126E
Total amount of funding for the entire consortium: 1.937.536 EUR

Duration

10/2018-03/2021

Topics

In order to provide the conditions for a broad acceptance of automated and connected driving, AUTOAKZEPT aims at the development of a user-centred assistance to reduce the uncertainty of occupants of automated and connected vehicles. Within the context of selected use cases, causes of usage uncertainty will be investigated, specifications for the automated detection of users' uncertainty will be defined, and interventions to reduce uncertainty will be derived and evaluated. In this context, the Professorship of Cognitive and Engineering Psychology focusses on occupants' uncertainty regarding the driving behaviour of automated vehicles. Requirements concerning the user-centred assistance for this use case will be developed and evaluated in several user studies. Next to specifications for an automated driver state monitoring, this evaluation will include user requirements to ensure the acceptance of automated and connected driving and the developed user-centred assistance.

Publications, talks, poster

Hollander, C., Hartwich, F. & Krems, J. (2022). Looking at HMI concepts for highly automated vehicles: Permanent vs. context-adaptive information presentation. Open Psychology, 4(1), 231-248. doi:10.1515/psych-2022-0124.

Drewitz, U., Ihme, K., Oehl, M., Hartwich, F., Hollander, C., Vosswinkel, R., Ritschel, R., Maerker, J., Ludwig, H., Fäßler, V., Trende, A., Johannmeyer, D., Brück, Y., & Niedling, M. (2022). Meeting User Needs in Vehicle Automation. In K. Plant & G. Praetorius (eds), Human Factors in Transportation. AHFE (2022) International Conference. AHFE Open Access, vol 60 (pp. 40-49). USA: AHFE International. doi:10.54941/ahfe1002432.

Drewitz, U., Ihme, K., Oehl, M., Hartwich, F., Hollander, C., Voßwinkel, R., Cornelsen, S., Thurlings-Tor, M., Niermann, D., Brück, Y., & Trende, A. (2021). AutoAkzept. Automation ohne Unsicherheit zur Erhöhung der Akzeptanz automatisierten und vernetzten Fahrens. Verbundbericht des Gesamtvorhabens. doi:10.2314/KXP:180053132X.

Niermann, D., Trende, A., Ihme, K., Drewitz, U., Hollander, C., & Hartwich, F. (2021). An integrated model for user state detection of subjective discomfort in autonomous vehicles. Vehicles, 3(4), 764-777. Link zur Publikation (open access)

Hartwich, F., Hollander, C., Johannmeyer, D., & Krems, J.F. (2021). Improving passenger experience and trust in automated vehicles through user-adaptive HMIs: "The more the better" does not apply to everyone. Frontiers in Human Dynamics, 3:669030 external link to publication. (open access)

Hollander, C., Hartwich, F., Johannmeyer, D. & & Krems, J. F. (2021). Looking at HMI concepts for autonomous vehicles: System transparency effects trust, gaze behavior and HMI preferences of vehicle occupants. In: A. Huckauf, M. Baumann, M. Ernst, C. Herbert, M. Kiefer, M & Sauter (Eds.). Contributions to the 63rd Tagung Experimentell arbeitender Psychologen (p.112). Lengerich: Pabst Science Publishers. Link zum Dokument

Hartwich, F., Schmidt, C., Gräfing, D., & Krems, J.F. (2020). In the passenger seat: Differences in the perception of human vs. automated vehicle control and resulting HMI demands of users. In: H. Krömker (Ed.): HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design. HCII 2020 (pp. 31-45). Cham: Springer. https://doi.org/10.1007/978-3-030-50523-3_3

Pape, A-.A, Cornelsen, S., Faeßler, V., Ihme, K., Oehl, M., Drewitz, U., Hartwich, F., Schroedel, F., Lüdtke, A., & Schramm, M. (2020). Empathic assistants - methods and use cases in automated and non-automated driving. In M. Bargendem H.C. Reuss, & A. Wagner (Eds.): 20. Internationales Stuttgarter Symposium. Proceedings (pp. 435-449). Wiesbaden: Springer Vieweg. https://doi.org/10.1007/978-3-658-29943-9_34

Schmidt, C., Hartwich, F., & Krems, J.F. (2020). Looking at driving automation from a passenger's perspective: Effects of fully automated vs. human vehicle control on driving experience and gaze behavior of vehicle occupants. In: T. Ahram, R. Taiar, K. Langlois, & A. Choplin (Eds.): Human Interaction, Emerging Technologies and Future Applications III (pp 3-9). Cham: Springer. https://doi.org/10.1007/978-3-030-55307-4_1

Schmidt, C., Hartwich, F., & Krems, J.F. (2020). Looking at driving automation from a passenger's perspective: Effects of fully automated vs. human vehicle control. Poster presented at the 4th International Conference on Human Interaction & Emerging Technologies. https://doi.org/10.13140/RG.2.2.22891.98089

Trende, A., Hartwich, F., Schmidt, C., & Fränzle, M. (2020). Improving the detection of user uncertainty in automated overtaking maneuvers by combining contextual, physiological and individualized user data. In: C. Stephanidis & M. Antona (Eds.): HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, Vol 1226 (pp. 390-397). Cham: Springer. https://doi.org/10.1007/978-3-030-50732-9_52

Drewitz, U., Ihme, K., Oehl, M., Schrödel, F., Voßwinkel, R., Hartwich, F., Schmidt, C., Pape, A.-A., Fleischer, T., Cornelsen, S., Lüdtke, A., Gräfing, D., & Trende, A. (2019). Automation ohne Unsicherheit: Vorstellung des Förderprojekts AutoAkzept zur Erhöhung der Akzeptanz automatisierten Fahrens. In VDI (Ed.). Mensch-Maschine-Mobilität 2019. Der (Mit-)Fahrer im 21. Jahrhundert!? VDI-Berichte 2360 (pp. 1-19). Düsseldorf: VDI Verlag. ISBN: 978-3-18-092360-4